本文整理汇总了C++中vectorMat::clear方法的典型用法代码示例。如果您正苦于以下问题：C++ vectorMat::clear方法的具体用法？C++ vectorMat::clear怎么用？C++ vectorMat::clear使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类vectorMat的用法示例。
在下文中一共展示了vectorMat::clear方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: floor
void HOGFeatures<T>::pyramid(const Mat& im, vectorMat& pyrafeatures) {
// calculate the scaling factor
Size_<float> imsize = im.size();
nscales_ = 1 + floor(log(min(imsize.height, imsize.width)/(5.0f*(float)binsize_))/log(sfactor_));
vectorMat pyraimages;
pyraimages.resize(nscales_);
pyrafeatures.clear();
pyrafeatures.resize(nscales_);
pyraimages.resize(nscales_);
scales_.clear();
scales_.resize(nscales_);
// perform the non-power of two scaling
// TODO: is this the most intuitive way to represent scaling?
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (unsigned int i = 0; i < interval_; ++i) {
Mat scaled;
resize(im, scaled, imsize * (1.0f/pow(sfactor_,(int)i)));
pyraimages[i] = scaled;
scales_[i] = pow(sfactor_,(int)i)*binsize_;
// perform subsequent power of two scaling
for (unsigned int j = i+interval_; j < nscales_; j+=interval_) {
Mat scaled2;
pyrDown(scaled, scaled2);
pyraimages[j] = scaled2;
scales_[j] = 2 * scales_[j-interval_];
scaled2.copyTo(scaled);
}
}
// perform the actual feature computation, in parallel if possible
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (unsigned int n = 0; n < nscales_; ++n) {
Mat feature;
Mat padded;
switch (im.depth()) {
case CV_32F: features<float>(pyraimages[n], feature); break;
case CV_64F: features<double>(pyraimages[n], feature); break;
case CV_8U: features<uint8_t>(pyraimages[n], feature); break;
case CV_16U: features<uint16_t>(pyraimages[n], feature); break;
default: CV_Error(cv::Error::StsUnsupportedFormat, "Unsupported image type"); break;
}
//copyMakeBorder(feature, padded, 3, 3, 3*flen_, 3*flen_, BORDER_CONSTANT, 0);
//boundaryOcclusionFeature(padded, flen_, 3);
pyrafeatures[n] = feature;
}
}示例2: filters
/*! @brief return the filters for all mixtures of a part
*
* @param out the filters to return
*/
void filters(vectorMat& out) const {
out.clear();
for (unsigned int m = 0; m < filterid_[self_].size(); ++m) {
out.push_back((*filtersw_)[(*filterid_)[self_][m]]);
}
}